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Gene Expression Changes in Cultured Reactive Rat Astrocyte Models and Comparison to Device-Associated Effects in the
Biorxiv : the Preprint Server for Biology
|January 30, 2023
Summary
Comparing astrocyte models with spatial transcriptomics reveals biomarkers for the foreign body response to implanted neurotechnology, aiding device development.
Area of Science:
- Neuroscience
- Biomaterials Science
- Genomics
Background:
- Implanted neurotechnology shows therapeutic promise but faces challenges from the foreign body response.
- Astrocytes, key cells in central nervous system (CNS) damage, exhibit a spectrum of reactive phenotypes.
- Understanding reactive astrocyte subtypes is crucial for improving long-term device performance.
Approach:
- RNA sequencing was used to analyze transcriptomic profiles of two reactive astrocyte culture models (cytokine cocktail and lipopolysaccharide).
- Spatial transcriptomics compared in vitro models to gene expression surrounding implanted electrodes in rat motor cortex at various time points and distances.
- Immunohistochemistry identified glial fibrillary acidic protein (GFAP)-expressing astrocytes, and a factorization approach assessed reactivity marker relationships.
Key Points:
- Overlapping gene expression (up to ~250 genes) was found between in vitro models and in vivo responses, varying with implantation duration.
- Cytokine-induced astrocytes shared more genes with chronically implanted tissue (≥1 week) than LPS-exposed cells.
- Specific genes (e.g., Serping1, Chi3l1, Cyp7b1) showed localized expression in GFAP-expressing astrocytes near implanted devices.
Conclusions:
- Comparing reactive astrocyte culture models with spatial transcriptomics data can identify novel biomarkers for the foreign body response to neurotechnology.
- This approach offers a strategy for evaluating and developing in vitro models that accurately mimic tissue responses to implanted electrodes.
- Findings contribute to optimizing the design and efficacy of implantable neurodevices for treating neurodegenerative diseases.
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